As Chairman and Chief Executive Officer, Matt Murphy led the transformation of Marvell into becoming a leader in data infrastructure semiconductor solutions. Joining the company in July 2016 as CEO, Matt is responsible for leading new technology development, directing ongoing operations and driving Marvell's growth strategy.
Prior to joining Marvell, Matt worked for Maxim Integrated, where he advanced through a series of business leadership roles over two decades. Most recently, he served as Executive Vice President of Business Units and Sales and Marketing, overseeing all product development and go-to-market activities. Prior to that, he served as the Senior Vice President of the Communications and Automotive Solutions Group and Vice President of Worldwide Sales and Marketing.
Matt is a recipient of a Silicon Valley Business Journal 2019 C-Suite award for CEO of a Large Public Company and was a “40 Under 40” honoree in 2011. In 2018, Institutional Investor named him All-America Executive Team Best CEO in the semiconductor category. He also served as the Chairman of the Semiconductor Industry Association (SIA) in 2018.
Matt earned a B.A. from Franklin & Marshall College and is also a graduate of the Stanford Executive Program. He served on the Board of Directors of eBay Inc. from March 2019 to June 2022 and is on the Board of Directors of the Semiconductor Industry Association (SIA). He previously served on the Board of Directors of the Global Semiconductor Alliance (GSA), including as GSA Board Chairman. Matt also serves as a Trustee of the U.S. Olympic and Paralympic Foundation.
Recent Videos
Six Five Summit Sessions

Marvell on What Comes Next for AI Infrastructure
AI infrastructure is entering a new phase as scaling pressures extend beyond compute into connectivity, memory, and increasingly specialized silicon. In this conversation, Matt Murphy explores the architectural shifts shaping the next phase of AI infrastructure and the strategic decisions required to stay ahead of them. The discussion examines where new bottlenecks are emerging, how data center architectures are evolving, and what real-world demand signals suggest about the durability and direction of the AI build-out.
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